Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction.
Yicheng ZhouPengfei WangHao DongDenghui ZhangDingqi YangYanjie FuPengyang WangPublished in: CoRR (2024)
Keyphrases
- neural network
- prediction accuracy
- real time
- traffic patterns
- artificial neural networks to predict
- neural network ensemble
- vehicle speed
- high speed
- pattern recognition
- road network
- prediction model
- radial basis function network
- graph representation
- genetic algorithm
- structural patterns
- fuzzy logic
- network traffic
- recurrent neural networks
- dynamic graph
- prediction error
- structured data
- neural network model
- small world
- graph patterns
- graph structures
- data integration
- short term prediction
- artificial neural networks
- pattern mining
- traffic engineering
- fully connected
- traffic congestion
- directed graph
- graph data
- graph mining
- traffic flow
- graph structure
- bipartite graph
- graph matching